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Aksoy, Nuri Can; Yazlik, Derya Ozlem – Journal of Education and Training Studies, 2017
In this study, it was aimed to determine the errors and misunderstandings of 5th and 6th grade middle school students in fractions and operations with fractions. For this purpose, the case study model, which is a qualitative research design, was used in the research. In the study, maximum diversity sampling, which is a purposeful sampling method,…
Descriptors: Fractions, Error Patterns, Grade 6, Grade 5
Gökkurt, Burçin; Erdem, Emrullah; Basibüyük, Kani; Sahin, Ömer; Soylu, Yasin – Educational Research Quarterly, 2017
The aim of this study was to examine the mistakes made by freshman students of science teaching during the process of proving and the reasons for these mistakes. To this aim, the study, which was conducted via the case study method, was performed with 52 freshman students who were studying at the department of science teaching in a state…
Descriptors: Science Instruction, Error Patterns, College Freshmen, Case Studies
Aydogdu, Bülent – Asia-Pacific Forum on Science Learning and Teaching, 2015
The aim of this study is to examine preservice science teachers' skills of formulating hypotheses and identifying variables. The research has a phenomenological research design. The data was gathered qualitatively. In this study, preservice science teachers were first given two scenarios (Scenario-1 & Scenario-2) containing two different…
Descriptors: Preservice Teachers, Science Teachers, Science Process Skills, Hypothesis Testing
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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